KR101487561B1 - Source search engine - Google Patents

Abstract

(E. G., HIV) from an interface 64 (e. G., A web browser on a personal computer). The method may retrieve documents (e.g., web pages) on the network 66 that contain at least a portion of the search term. The method may determine the source (e.g., news publishers such as National Geographic or National Inquirer) and sort the documents based on the source of the documents. The search engine may implement a method of using the source to evaluate (e.g., sort) search results based on the source of the documents.

Search engine, source, qualifying

Description

Source search engine {Source search engine}

Priority is claimed on U.S. Provisional Patent Application Serial No. 60 / 747,735, filed May 19, 2006, to the United States Patent and Trademark Office, the entire contents of which are incorporated herein by reference.

This embodiment is directed to a method comprising receiving at least one search term (e.g., HIV) from an interface (e.g., a web browser on a personal computer).

With the development of computers, information networks and the Internet, a large number of documents have become available to users. For example, Internet users can access Web pages from a huge number of resources that exist throughout the world. Since large amounts of documents and / or content are rapidly increasing over time, it is challenging for users to find documents related to topics of interest.

Thus, search engines have been developed with the advent of the Internet and other networks (e.g., intranet networks). Search engines have allowed users to enter search terms and can receive references to documents (e.g., Internet links) from these search terms. These references may be in the form of Internet links that point to a user's web browser to download a document of interest (e.g., a web page) over the Internet.

However, many search engines are inefficient and the results of search engines can become useless. For example, when a user enters a search term (e.g., "HIV"), the search engine will yield many pages related to the subject of the search term. However, since there will be an indigestible amount of documents associated with the search term, the search engine will attempt to rank the relevance of the documents it finds to make it accessible to the user with the most interesting document. Unfortunately, some search engines may use processes (e.g., algorithms) that do not always provide the user with the most certain and relevant information. Thus, although some search engines may assist users in locating existing web pages, these search engines are still effective in helping or providing users to find documents or information that may be most useful to them . For example, if a user enters the search term "HIV" into a search engine, the amount of results will be tremendous and the relevance of the results initially visible to the user can be very limited.

Thus, one limitation of many search engines is in the way they rank documents (e.g., the order in which documents appear in the search engine results). The relevance of documents generated from a search of a search engine may appear arbitrarily. The association may be based on the number of users linking to the page, the number of links associated with the page, or other empirical means. However, many search engines are not using the substantial relevance features of accessible documents in the network, which can lead to search engine results with reliable association rankings. For example, many search engines do not use the source of documents (e.g., authors) as a factor in ranking the relevance of search engine results.

Embodiments relate to methods that include receiving at least one search term from an interface. In an embodiment, the interface may be an Internet interface. In an embodiment, the interface may be an intranet interface. In an embodiment, the interface may be any other type of computer or personal interface that allows input of search terms. In an embodiment, the search term may include input of words and / or files. The input words may include terms to be searched, a list of sources, or other related information.

Embodiments relate to a method comprising retrieving in a network documents that include at least a portion of an input search term. In an embodiment, the network may be an Internet network. In an embodiment, the network may be an intranet network. In an embodiment, the network may be any kind of computer network including open networks and closed networks. In an embodiment, the search engine may be a source search engine and / or other types of search engines. In an embodiment, the network may be an information retrieval system designed to help locate information stored on a computer system.

In an embodiment, the documents may include web pages. In an embodiment, the documents may include published articles. In an embodiment, the documents may include audio clips. In an embodiment, the documents may include video clips. In an embodiment, the documents may comprise physical documents. In an embodiment, the documents may include electronic documents. In an embodiment, the documents may include any other kind of content that is accessible or identifiable on the network.

Embodiments relate to a method comprising determining a source of documents. In an embodiment, the source may be the person who created the document. In an embodiment, the source may be the person who published the document. In an embodiment, the source may be the person quoted in the document. In an embodiment, the source may be a person associated with a search term. In an embodiment, the source may be an organization that created the document. In an embodiment, the source may be an organization that published the document. In an embodiment, the source may be an organization cited in the document. In an embodiment, the source may be an organization associated with a search term.

Embodiments relate to a method comprising sorting documents based on a source of documents. In an embodiment, a method may include determining the relevance of documents based on the source of the document. In an embodiment, determining the relevance of the documents based on the source of the documents may be included in aligning the documents based on the source of the documents. In an embodiment, determining the relevance of the documents may be based on the source of the document. In an embodiment, determining the relevance may be based on the match quality of the documents. In an embodiment, determining the relevance of the document may be based on the match quality of the source of the document and the document.

In an embodiment, determining the relevance of the document may include evaluating the qualification of the source of the document. Evaluating the qualification of the source of a document may be performed empirically (e.g., statistical analysis of documents and related documents). In an embodiment, the qualification evaluation of a document may be based on user input or search engine parameters. The user input may include the most interesting pre-qualified sources for the user. In an embodiment, the search engine may use equivalence to pre-qualified sources to find associated documents. In an embodiment, the user interface may display a list of documents in order from the one most determined to be related to the one most determined to be unrelated.

In an embodiment, the interface may output the ID of the source of the documents in a manner that is based on the relative qualification evaluation of the source. In an embodiment, the more highly qualified sources may be listed before the less well qualified sources. In an embodiment, documents may be grouped by source.

In an embodiment, the documents may be output to the user interface as selectable sources. The user may select the sources and allow output of the documents associated with the selected source.

In an embodiment, evaluating the qualification of the source may be based on the reputation of the source. In an embodiment, the reputation of the source may be based on the confidence of the people who created the documents of the source. In an embodiment, the reputation of the source may be based on the confidence of the people who published the documents from the source. In an embodiment, a reputation can be based on the trustworthiness of the people quoted in the document from the source. In an embodiment, the reputation can be based on the trustworthiness of the people associated with the search term in the document from the source. In an embodiment, the reputation of the source may be based on the confidence of the organizations that created the documents from the source. In an embodiment, the reputation of the source may be based on the confidence of the organizations that published the documents from the source. In an embodiment, the reputation of the source may be based on the confidence of the tissues quoted in the documents by the source. In an embodiment, the reputation of the source may be based on the confidence of the tissues associated with one search term in the documents from the source. Those of ordinary skill in the art will appreciate that the reputation of the source can be assigned in other ways.

In an embodiment, qualifying the source of documents may be based on the relative amount of documents found while searching from the source. In an embodiment, qualification assessment of a source of documents may be based on a source that is one of at least one preferred source. Embodiments of the preferred source may be assigned by a manager to an algorithm by a search engine or by a particular user of a search engine.

1-9 illustrate a source search engine interface that includes examples of inputs and outputs according to an embodiment.

Figures 9-15 illustrate a block diagram flow chart of a process that may be executed by a source search engine in accordance with an embodiment.

16-19 illustrate an interaction block diagram between a user interface and networks according to an embodiment.

1-9 illustrate an example interface of a source search engine according to embodiments. The search engine 18 may be included within computer hardware (e.g., a server, personal computer, or other electronic device). (E.g., a personal computer with a web browser, a graphical user interface (GUI), a mobile phone with keypad input or other computing interface mechanism) ) Or directly to the search engine 18 via the Internet. The search term input 10 may be input to the user terminal 14. Likewise, the search output 20 may be output from the user terminal 14.

Figure 1 shows a source search engine that outputs a list of documents in response to search term entry. The window 12 is an example of a screen shot of the user interface at the user terminal 14 into which the search term (e.g., "HIV") is entered. After the search term is transmitted from the user terminal 14 to the search engine 18 via the network 16, the search results (e.g. in the form of document results) 14). Window 22 represents an example of a screen shot of associated documents output through the source search engine in response to the search term "HIV ". As shown in window 22, a document entitled "History of HIV" appears first in the list of documents, followed by a document entitled " HIV Drug Analysis ", followed by "HIV Came from Aliens Followed by a document titled "! These exemplary search results are ranked according to the association based on the source of the documents according to the embodiment.

Fig. 2 is similar to the embodiment shown in Fig. However, the search output 20 may have a window 24 containing a source representation of the document with the title of the document. For example, a document titled "History of HIV" is marked as coming from National Geographic of periodical publication. Likewise, a document entitled "HIV Drug Analysis" is marked as coming from the National Institute of Health (NIH), the government source. Also, it is indicated that the article entitled "HIV Came from Aliens!" Comes from the National Enquirer of Periodical Publishing. The source representation of the documents can be used to rank associativity and can help the user to select the document most relevant to their interest.

In the embodiment shown in Figures 1 and 2, the title of the articles may include a link to these documents to be accessed on the network.

Although FIG. 3 shows an embodiment similar to the embodiment shown in FIGS. 1 and 2, search term input 10 and search output 20 may allow a user to specify sources in the search term input 10 . As shown in window 26, the source search engine allows the user to input search terms and sources of interest. In the example shown in window 26, the search term is "HIV" and the sources are labeled "National Geographic" and "NIH ". As shown in the exemplary window 28, the listed documents are only those from "National Geographic" and "NIH ". In an embodiment, the sources entered in window 26 are pre-qualified sources in that they allow the user to qualify which information sources can be used to output the most relevant search results You might think. In an embodiment, the search engine may replace other sources that are considered equivalent to the input source to output relevant search results.

Figure 4 is similar to the embodiment of Figures 1-3, but the search output 20 outputs source results instead of document results. As shown in window 30, the source results are output with the input of the search term "HIV ". In this example, the source results from the search term "HIV " are denoted as" National Geographic ", "National Institute of Health ", and" National Enquirer ". In an embodiment, the user may select one of the sources to view a list of documents from that source. The sources may be ranked based on a combination of the established reliability of the sources, the number of documents accessible by the sources, other important predetermined characteristics of the sources, other empirical data and / or factors. In an embodiment, the user may select a source so that the user will be able to access documents that are most relevant to their needs.

FIG. 5 shows embodiments similar to the embodiment shown in FIG. As shown in window 32, the output of the source results will give other information about the documents associated with the source. For example, the number of documents to be associated with the source in the source results will be displayed. For example, window 32 displays two documents associated with the periodical "National Geographic " from the search term" HIV ". Likewise, one document from the source "National Institute of Health" is displayed indicating that there is one document from the source "National Enquirer". Likewise, in FIG. 6, the source results shown in window 34 will indicate the qualification level of the source. For example, in Window 34, the source results show that National Geographic and the National Institute of Health are "highly qualified" while the National Enquirer is marked "low qualified". Evaluating or quantifying and evaluating something high or low may be determined based on feedback from users, important decisions used in search engine algorithms, and / or empirical data. Examples of empirical data may be the total number of accesses to the articles from the source, the pattern of access, the time used to view the documents, and / or other factors.

Figure 7 shows embodiments similar to the embodiments shown in Figures 1-6. Here, the search output includes an indication of both the source and the documents associated with the source. As shown in window 36, the source may be selected to display a list of documents associated with the source. In this example, the source "National Geographic" is selected to display articles titled "History of HIV" and "Impact of HIV in Africa". Although the sources "National Institute of Health" and "National Enquirer" are not selected, they will still be available as search results. Similar to the embodiments shown in FIG. 7, the embodiments shown in FIG. 8 may show all the documents or the most highly qualified documents associated with selected documents or source results.

The sources may include people who have written documents associated with the search term, people quoted in the documents, organizations (e.g., corporations, associations, governmental organizations, or any other organization) that wrote the documents, organizations cited in documents and / A person (and / or a group). In an embodiment, the sources may be ranked by algorithm in order of importance (e.g., frequency associated with documents, reliability of media source that publishes the document, trustworthiness of the organization associated with the document, etc.).

Figures 9-15 illustrate algorithms that may be implemented in a search engine according to an embodiment. It will be apparent to those skilled in the art that modifications of the above algorithm will be made without departing from the spirit of the present embodiments. As shown in FIG. 9, the search engine may receive search terms from the interface (block 40). The search engine may retrieve documents from the network (block 42). The search engine may determine the source of the documents (block 44). The search engine may sort the documents based on the source (block 46). The search engine may output search results to the interface (block 48).

In the embodiment shown in FIG. 10, sorting the documents based on the source may include determining the relevance of the documents based on the source (block 50). Aligning the documents based on the source as shown in FIG. 11 may include determining the relevance of the documents based on the source and search terms (block 52). As shown in FIG. 12, sorting the documents based on the source may include (step 54) determining the qualification of the sources according to the embodiment and / or determining the relevance of the documents based on the source (block 56) .

In the embodiment shown in Figs. 13-15, outputting search results to the interface may be performed in other ways. As shown in FIG. 13, the search results are output to the interface by outputting the identification of the documents to the interface similar to FIG. 1 (block 58). As shown in FIG. 14, outputting the search result to the interface may include outputting the IDs of the sources to the interface similarly to FIGS. 3-6 (block 60). As shown in FIG. 15, outputting the search results to the interface may include outputting the ID of the source and documents to the interface, similar to FIGS. 7-8 (block 62).

16-18 illustrate the interaction between the user interface 64 and the network 66 according to an embodiment. As shown in FIG. 16, search terms may be entered into the user interface 64 and then communicated over the network 66. The network may interact with the search engine to output the document list to the user interface 64 that is displayed to the user. As shown in Fig. 17, the search term may be input to the user interface 64 according to the embodiment. The user interface can pass the search term to the search engine via the network 66, thereby outputting the source list to the user interface 64 and displaying it to the user. As shown in Fig. 18, the search term may be input to the user interface 64. Fig. The search term may be passed from the user interface 64 to the network 66. The network 66 may include a search engine that outputs source and document listings to the user interface 64 for display to the user.

19 shows the user interaction with the user interface 68 according to the embodiment. As shown, the user may enter a search term in the user interface 68. The user interface may output the source list according to an embodiment. The user may have the user interface 68 display a list of documents by inputting (e.g., selecting) a source from the source list. In an embodiment, it may be unnecessary for a user to select a source from a source list. In an embodiment, the source list includes a list of documents. Those of ordinary skill in the art will appreciate the various combinations of search terms, source lists, and document lists selected by the user to receive the most relevant documents from the search engine.

The foregoing embodiments (e.g., source search engine) and advantages are merely examples, and are not to be construed as limiting the appended claims. The teachings may be applied to other apparatuses and methods, as will be understood by those of ordinary skill in the art. Various alternatives, modifications and variations will be apparent to those skilled in the art.

The present embodiment is directed to a method comprising receiving at least one search term (e.g., HIV) from an interface 64 (e.g., a web browser on a personal computer). The method may retrieve documents (e.g., web pages) on the network 66 that contain at least a portion of the search term. The method may determine the source (e.g., news publishers such as National Geographic or National Inquirer) and sort the documents based on the source of the documents. Thus, according to embodiments, a search engine may implement a method of using a source to evaluate (e.g., sort) search results based on a source of documents. For example, articles related to the "HIV" topic published by National Geographic (often considered a reliable news source by a number of people) are more likely than articles published by National Inquirers (often considered unreliable news sources) It will give a lot of relevance.

By aligning the documents based on the source, more relevant search results can be provided to the user. In embodiments, a graphical user interface with a search engine that uses a source for associativity sorting may result in a more relevant search result useful to the end user. In embodiments, the search results from the search engine may be enhanced by listing the sources to the user. According to an embodiment, the source may be displayed with search results. The user can select a source according to an embodiment, thereby guiding the user to the most relevant documents based on the source. Thus, by using the source search engine in accordance with the embodiments, the user can more effectively and efficiently access an increasing number of documents that are growing on the Internet.

Claims (20)

Receiving at least one search term from at least one of an Internet interface or an intranet interface; Retrieving documents comprising at least a portion of the at least one search term from at least one of the Internet or an intranet; Determining a source of the result documents of the search; Determining a relevance of the result documents based at least on the source of the result documents, Reputation of the source, and Equivalence to at least one pre-qualified source input by the user And performing a qualification evaluation of the source of the result documents based on the qualifications of the result documents; And Sorting the documents based on at least a qualification evaluation of the source of the documents ≪ / RTI > delete The method according to claim 1, Wherein the step of retrieving at least one of the Internet or an intranet is performed by a search engine. The method of claim 1, Web pages; Published articles; Audio clips; Video clips; Physical documents; And Electronic documents ≪ / RTI > The method of claim 1, wherein the source People who wrote documents; Those who published the documents; People cited in documents; People associated with the at least one search term; Organizations writing documents; Organizations that published documents; Organizations cited in documents; And Organizations associated with the at least one search term ≪ / RTI > delete delete delete 2. The method of claim 1, comprising outputting an ID of the documents to an interface in a manner that is based on the association of the documents. 10. The method of claim 9, wherein the method based on associations of documents comprises listing the documents in accordance with an order of relevance. The method of claim 1, comprising outputting an ID of a source of the documents to an interface in a manner that is based on qualification of the source. 12. The method of claim 11, wherein the method based on qualification assessment of a source comprises listing sources in order from most qualified to least qualified. 12. The method of claim 11, comprising outputting to the interface an ID of documents grouped by the source of the documents in a manner that is based on qualification of the source. 12. The method of claim 11, Outputting at least one source of the documents; Receiving a selection for at least one of the at least one source; And Outputting at least one of the documents associated with the at least one selected source / RTI > 15. The method of claim 14, wherein outputting a source of at least one of the documents comprises outputting a qualification level of the at least one source. delete 2. A method according to claim 1, The confidence of the people who wrote the documents; The reliability of the people who published the documents; The credibility of the people quoted in the documents; The confidence of the people associated with the at least one search term; The reliability of the organizations that wrote the documents; Reliability of organizations that published documents; The credibility of the organizations cited in the documents; And The reliability of the organizations associated with the at least one search term ≪ / RTI > 2. The method of claim 1, wherein the qualification assessment of the source of the documents is based on a relative quantity of documents found during the search from the source. delete delete

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